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ERP Analyst - Request to - Remote
Remote / Online - Candidates ideally in
New York, New York County, New York, 10261, USA
Listed on 2026-10-18
New York, New York County, New York, 10261, USA
Listing for:
Indotronix UK
Remote/Work from Home
position Listed on 2026-10-18
Job specializations:
-
IT/Tech
Data Analyst, Business Intelligence
Job Description & How to Apply Below
Location: New York
JPC - 211327 - ERP Analyst
- Request to Pay
- Remote
[Corning, NY, 14831], United States
5 - 10 Years
Full Time
Posted 3 days ago
Primary Skills
Data Analyst
data validation
RTP
request to pay
About Company
Job Description
Title
: ERP Analyst
- Request to Pay
- Remote
Location
:
Remote
Pay Rate
: $52 /Hr on W2
Type & Duration
: 12 plus months contract possibility of extension based on demand.
Scope of this position:
Corning is consolidating 29 ERP platforms around the world to unite the organization under one common ERP solution, SAP S/4
HANA Private.
Job Code
JPC - 211327
City
[Corning, NY, 14831], United States
States
New York
Experience
5 - 10 Years
Primary Skills
Data Analyst, data validation, RTP, request to pay
Required Documents
Resume
Job Description
- Title
: ERP Analyst
- Request to Pay
- Remote - Location
:
Remote - Pay Rate
: $52 /Hr on W2 - Type & Duration
: 12 plus months contract possibility of extension based on demand.
- Corning is consolidating 29 ERP platforms around the world to unite the organization under one common ERP solution, SAP S/4
HANA Private. - The Data Validation & Analytics Expert supports this transformation by validating that the correct data is transferred during ERP deployments for Req to Pay (RTP) and by improving how deployment data is analyzed, interpreted, and reported.
- This role works closely with the ERP transformation data team, business leads, and key stakeholders to verify data accuracy, completeness, and alignment across deployment activities.
- The role combines hands‑on data validation, profiling, cleansing, and analysis with the development of dashboards, reporting, and practical AI-enabled approaches that improve deployment readiness and business decision‑making.
- Validate that RTP data is accurately transferred during ERP deployment activities
- Partner with the ERP transformation data team, business leads, and users to confirm data requirements, validation criteria, priorities, and status updates
- Collect data from primary and secondary sources and maintain relevant databases, files, and data systems that support validation and analysis activities
- Develop and implement data collection processes, validation methods, and other strategies that improve data quality, consistency, and efficiency
- Filter, cleanse, and review data using reports, reconciliations, and performance indicators to identify issues and improve reliability
- Perform data profiling to identify, investigate, and understand anomalies, gaps, inconsistencies, and data transfer risks
- Mine and analyze large data sets to draw valid conclusions and support deployment and business decision‑making
- Use statistical and analytical tools to interpret data sets, with attention to trends, patterns, and insights that may support diagnostic or predictive analytics efforts
- Develop dashboards, graphs, visualizations, exception reporting, and reconciliation tools that enable quicker and more effective data analysis
- Apply AI-enabled approaches, where appropriate, to support faster issue identification, pattern detection, and insight generation across validation activities
- Translate validation and analytical findings into clear updates, recommendations, and reporting for management and stakeholders
- Proactively identify trends, risks, and business improvement opportunities and make recommendations to stakeholders
- Contribute to stronger data quality, lower deployment risk, and more reliable RTP process outcomes across the ERP transformation
- Education:
Bachelor's degree in IT, Science, or Business - 5+ year's experience in the following;
- Experience in data validation, data analysis, ERP data support, or transformation-related roles
- Strong ability to analyze complex data and identify inconsistencies, anomalies,…
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